Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

6 April 2020

Papers citing "Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19"

50 / 54 papers shown

Title
Robust COVID-19 Detection in CT Images with CLIP Li Lin Yamini Sri Krubha Zhenhuan Yang Cheng Ren Thuc Duy Le Irene Amerini Xin Wang Shu Hu 31 10 0 13 Mar 2024
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention Hao Shao Quansheng Zeng Qibin Hou Jufeng Yang 51 13 0 14 Dec 2023
Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnostics Ayyub Alzahem Shahid Latif W. Boulila Anis Koubaa 21 5 0 12 May 2023
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images Bouthaina Slika Fadi Dornaika H. Merdji K. Hammoudi ViT MedIm 26 0 0 18 Mar 2023
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search Mehdi Asadi Fatemeh Poursalim Mohammad Loni Masoud Daneshtalab Mikael Sjödin Arash Gharehbaghi 29 7 0 17 Jan 2023
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19 Liansheng Wang Jiacheng Wang Lei Zhu Huazhu Fu Ping Li Gary Cheng Zhipeng Feng Shuo Li Pheng-Ann Heng 30 23 0 10 Nov 2022
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review Harold Brayan Arteaga-Arteaga Melissa delaPava Alejandro Mora-Rubio Mario Alejandro Bravo-Ortíz Jesús Alejandro Alzate-Grisales ... Simon Orozco-Arias M. Hassaballah South Valley University O. Cardona-Morales Valencia OOD 11 1 0 11 Jun 2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images A. Chaddad Lama Hassan Christian Desrosiers 30 24 0 04 Jun 2022
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation Bruno A. Krinski Daniel V. Ruiz E. Todt 3DPC 34 2 0 19 May 2022
Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net Risako Tanigawa Yasunori Ishii Kazuki Kozuka Takayoshi Yamashita 22 1 0 11 May 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron Asifullah Khan Dr. Saddam Hussain Khan Mahrukh Saif Asiya Batool A. Sohail Muhammad Waleed Khan 29 48 0 13 Feb 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 21 73 0 23 Dec 2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images Qinghao Ye Yuan Gao Weiping Ding Z. Niu Chengjia Wang ... Minhao Wang E. Fang Wade Menpes-Smith Jun Xia Guang Yang OOD 26 33 0 09 Dec 2021
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging Aishwarza Panday M. A. Kabir N. K. Chowdhury 36 7 0 25 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A survey Narinder Singh Punn Sonali Agarwal SSeg 26 144 0 09 Jul 2021
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey Dinh C. Nguyen Ming Ding P. Pathirana Aruna Seneviratne 25 179 0 28 Jun 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 27 8 0 15 Jun 2021
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach Jianxing Zhang Pengcheng Xi Ashkan Ebadi Hilda Azimi Stéphane Tremblay Alexander Wong 15 4 0 04 May 2021
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease Abbas Raza Ali M. Budka 21 5 0 29 Apr 2021
Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation Huimin Huang Ming Cai Lanfen Lin Jing Zheng Xiongwei Mao ... Jianying Zhou Yutaro Iwamoto Xianhua Han Yenwei Chen Ruofeng Tong 23 13 0 07 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 30 55 0 04 Mar 2021
Semi-supervised Learning for COVID-19 Image Classification via ResNet Lucy Nwuso Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 19 5 0 27 Feb 2021
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach Shruti Jadon 21 39 0 11 Feb 2021
Machine learning applications for COVID-19: A state-of-the-art review Firuz Kamalov C. A. Kumar Hana Sulieman F. Thabtah Akbar Hossain OOD 19 6 0 19 Jan 2021
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans Tanvir Mahmud Md. Jahin Alam Sakib Chowdhury Shams Nafisa Ali Md. Maisoon Rahman Shaikh Anowarul Fattah Mohammad Saquib 13 37 0 03 Jan 2021
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation Yichi Zhang Qingcheng Liao Lin Yuan He Zhu Jiezhen Xing Jicong Zhang 49 23 0 31 Dec 2020
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks Björn W. Schuller H. Coppock Alexander Gaskell 41 63 0 29 Dec 2020
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images Narinder Singh Punn Sonali Agarwal 29 31 0 13 Dec 2020
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines U. Özkaya Ş. Öztürk Serkan Budak F. Melgani K. Polat 19 23 0 11 Nov 2020
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 T. Tan Bipul Das Ravi Soni Mate Fejes S. Ranjan ... Barbara Darázs P. Tegzes L. Ferenczi R. Mullick Gopal Avinash 6 5 0 10 Nov 2020
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 23 1,041 0 02 Nov 2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging Xuelin Qian Huazhu Fu Weiya Shi Tao Chen Yanwei Fu F. Shan Xiangyang Xue 33 51 0 07 Oct 2020
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review Shahabedin Nabavi Azar Ejmalian M. Moghaddam A. A. Abin Alejandro F. Frangi M. Mohammadi H. S. Rad 16 34 0 01 Oct 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images Lucas O. Teixeira R. M. Pereira Diego Bertolini Luiz Eduardo Soares de Oliveira L. Nanni George D. C. Cavalcanti Yandre M. G. Costa 18 114 0 21 Sep 2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification Zhao Wang Quande Liu Qi Dou OOD 19 162 0 15 Sep 2020
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis Jannis Born Nina Wiedemann G. Brändle Charlotte Buhre Bastian Alexander Rieck Karsten M. Borgwardt 34 45 0 13 Sep 2020
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans Paschalis A. Bizopoulos N. Vretos P. Daras 30 17 0 10 Sep 2020
A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays H. Shalu P. Harikrishnan Akash Das Megdut Mandal Harshavardhan M Sali Juned Kadiwala MedIm 11 0 0 19 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 55 624 0 02 Aug 2020
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing Ashkan Ebadi Pengcheng Xi Stéphane Tremblay B. Spencer R. Pall Alexander Wong AI4CE 26 69 0 22 Jul 2020
COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach V. Sharma Curtis E. Dyreson 25 18 0 26 Jun 2020
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images Mahesh Gour Sweta Jain 8 37 0 22 Jun 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 21 11 0 09 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset A. Signoroni Mattia Savardi Sergio Benini Nicola Adami R. Leonardi ... F. Vaccher M. Ravanelli A. Borghesi R. Maroldi D. Farina 13 37 0 08 Jun 2020
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Images Anas Tahir Yazan Qiblawey Amith Khandakar Tawsifur Rahman U. Khurshid F. Musharavati M. T. Islam S. Kiranyaz M. Chowdhury 25 49 0 23 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 26 18 0 19 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia Xi Ouyang Jiayu Huo L. Xia F. Shan Jun Liu ... Xiaohuan Cao Yaozong Gao Dijia Wu Qian Wang D. Shen 22 312 0 06 May 2020
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images Xiaocong Chen Lina Yao Yu Zhang 31 197 0 12 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays Xin Li Chengyin Li D. Zhu 24 79 0 06 Apr 2020
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images Zhenyu Tang Wei-Ye Zhao Xingzhi Xie Zheng Zhong F. Shi Jun Liu D. Shen 28 171 0 26 Mar 2020